Serverless | Endpoint Workers

IMPORTANT UPDATE: This repository will be archived and replaced by runpod-workers. We have split each worker into its own repository to make it easier to maintain and deploy.

For AI agents: setup instructions for the Runpod skills and MCP server are at https://agents.runpod.io/

Table of Contents

• Table of Contents
• Pod Worker Functionality
• Cog
• Deployed Containers
• Directory Structure

Pod Worker Functionality

All the workers us the RunPod Python Package to implement the work functions.

Cog

To aid in packaging, these workers referenced the Cog package to build the containers. See cog_setup.md for more information on how to install Cog.

Deployed Containers

Model	Docker Hub
Stable Diffusion v1	runpod/ai-api-stable-diffusion-v1
Stable Diffusion v2	runpod/ai-api-stable-diffusion-v2
Dream Booth v1	runpod/ai-api-dream-booth-v1
Anything v3	runpod/ai-api-anything-v3
Anything v4	runpod/ai-api-anything-v4
Openjourney	runpod/ai-api-openjourney
Whisper	runpod/ai-api-whisper
helloworld

Directory Structure

.